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最新版本 NumPy 1.16.0

NumPy 1.16.0

NumPy 1.16.0
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檔案版本 NumPy 1.16.0

檔案名稱 numpy-1.16.0.zip
檔案大小 4.82 MB
系統 Windows 7 / Windows 8 / Windows 10
軟體類型 免費軟體
作者 HP Development Company, L.P.
官網 https://support.hp.com/us-en/document/c03286146
更新日期 2019-01-14

What's new in this version:

- Experimental support for overriding numpy functions, see __array_function__ below.
- The matmul function is now a ufunc. This provides better performance and allows overriding with __array_ufunc__.
- Improved support for the ARM and POWER architectures.
- Improved support for AIX and PyPy.
- Improved interop with ctypes.
- Improved support for PEP 3118.

New functions:
- New functions added to the numpy.lib.recfuntions module to ease the structured assignment changes: assign_fields_by_name, structured_to_unstructured, unstructured_to_structured, apply_along_fields, require_fields

New deprecations:
- The type dictionaries numpy.core.typeNA and numpy.core.sctypeNA are deprecated. They were buggy and not documented and will be removed in the 1.18 release. Usenumpy.sctypeDict instead.
- The numpy.asscalar function is deprecated. It is an alias to the more powerful numpy.ndarray.item, not tested, and fails for scalars.
- The numpy.set_array_ops and numpy.get_array_ops functions are deprecated.
- As part of NEP 15, they have been deprecated along with the C-API functions :c:func:PyArray_SetNumericOps and :c:func:PyArray_GetNumericOps. Users who wish to override the inner loop functions in built-in ufuncs should use :c:func:PyUFunc_ReplaceLoopBySignature.
- The numpy.unravel_index keyword argument dims is deprecated, use shape instead.
- The numpy.histogram normed argument is deprecated. It was deprecated previously, but no warning was issued.
- The positive operator (+) applied to non-numerical arrays is deprecated. See below for details.
- Passing an iterator to the stack functions is deprecated

Expired deprecations:
- NaT comparisons now return False without a warning, finishing a deprecation cycle begun in NumPy 1.11.
- np.lib.function_base.unique was removed, finishing a deprecation cycle begun in NumPy 1.4. Use numpy.unique instead.
- multi-field indexing now returns views instead of copies, finishing a deprecation cycle begun in NumPy 1.7. The change was previously attempted in NumPy 1.14 but reverted until now.
- np.PackageLoader and np.pkgload have been removed. These were deprecated in 1.10, had no tests, and seem to no longer work in 1.15.

Future changes:
NumPy 1.17 will drop support for Python 2.7

NumPy 1.16.0 相關參考資料
NumPy Reference - Numpy and Scipy Documentation

NumPy Reference, Release 1.16.0 itemsize [int] Length of one array element in bytes. nbytes [int] Total bytes consumed by the elements of the ...


NumPy User Guide - Numpy and Scipy Documentation - SciPy.org

NumPy User Guide, Release 1.16.0. This guide is intended as an introductory overview of NumPy and explains how to install and make use of ...


numpy · PyPI

NumPy is the fundamental package for array computing with Python.


numpy1.16.0-notes.rst at master · numpynumpy · GitHub

NumPy 1.16.0 Release Notes. This NumPy release is the last one to support Python 2.7 and will be maintained as a long term release with bug fixes until 2020.


numpynumpy - GitHub

I've got numpy version updated automatically from PyPI to 1.16.0 version today and my tests have failed with the following error on numpy ...


Overview — NumPy v1.16 Manual - Numpy and Scipy Documentation

NumPy v1.16 Manual. Welcome! This is the documentation for NumPy 1.16.0, last updated Jan 31, 2019. Parts of the documentation: ...


Release Notes — NumPy v1.16 Manual

NumPy 1.16.0 Release Notes¶. This NumPy release is the last one to support Python 2.7 and will be maintained as a long term release with ...


Release Notes — NumPy v1.17 Manual

The NumPy 1.16.1 release fixes bugs reported against the 1.16.0 release, and also backports several enhancements from master that seem appropriate for a ...


Releases · numpynumpy · GitHub

Commonly numpy.broadcast_arrays returns a writeable array with internal ...... The NumPy 1.16.1 release fixes bugs reported against the 1.16.0 release, and